A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction

A Comparative Analysis of Machine Learning Algorithms in Energy Poverty Prediction

Given the limited potential of conventional statistical models, machine learning (ML) techniques in the field of energy poverty have attracted growing interest, especially during the last five years. The present paper adds new insights to the existing literature by exploring the capacity of ML algor...

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Bibliographic Details
Main Authors: Elpida Kalfountzou, Lefkothea Papada, Christos Tourkolias, Sevastianos Mirasgedis, Dimitris Kaliampakos, Dimitris Damigos
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
energy poverty
machine learning
algorithms
classifiers
Greece
Online Access:https://www.mdpi.com/1996-1073/18/5/1133
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